Cost-effective database for huge amounts of time series data
Ranked in these QuestionsQuestion Ranking
Pro Fast and cost-effective
VictoriaMetrics requires fewer hardware resources - RAM, CPU, storage - compared to competitors. This allows for saving hardware costs.
Pro Different protocols support
Supports metrics' scraping, ingestion and backfilling via the different protocols - see here:
Pro Seamless integration with Prometheus+Grafana
Prometheus may be configured to write data to VictoriaMetrics. Grafana may be configured to query the data directly from VictoriaMetrics using PromQL.
Pro Open source
VictoriaMetrics is free and open source - see here.
Pro Easy to setup and operate
Just start a single binary with the minimum amount of settings.
Pro Cluster version is free and open source
Con Built from scratch
It is young and it is built from scratch. This means it can contain unpolished code.
Con Doesn't support SQL
It supports only PromQL for querying data.